Automatic Verification of "isa" Relations Based on Features

Automatic verification of "isa" relations is a basic problem in knowledge acquisition from text. We present an iterative method of "isa" relation verification based on some features. It initially acquires a set of "isa" relation features. Secondly these features are cha...

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Bibliographic Details
Main Authors: Lei Liu, Sen Zhang, LuHong Diao, ShuYing Yan, CunGen Cao
Format: Conference Proceeding
Language:English
Subjects:
Computers
Data mining
Educational institutions
Fuzzy systems
Instruction sets
Iterative methods
Knowledge acquisition
Natural language processing
Ontologies
Production
Online Access:Request full text
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Summary:Automatic verification of "isa" relations is a basic problem in knowledge acquisition from text. We present an iterative method of "isa" relation verification based on some features. It initially acquires a set of "isa" relation features. Secondly these features are changed into a set of production rules. Then the candidate "isa" relations acquired from Chinese corpus is verified with multi-features production rules. Experimental results demonstrate good performance of the method.
DOI:10.1109/FSKD.2009.498